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Article
Mathematics
Minglin Ma et al.
Article
Mathematics, Interdisciplinary Applications
Minglin Ma et al.
Summary: To enrich the dynamic behaviors of discrete neuron models and mimic biological neural networks more effectively, this paper proposes a bistable locally active discrete memristor (LADM) model to simulate synapses. By introducing the LADM into two identical Rulkov neurons, the dynamic behaviors of neural networks are explored. Numerical simulation shows that the neural network exhibits multistability and new firing behaviors under different system parameters and initial values. In addition, the synchronization between the neurons is also investigated.
FRACTAL AND FRACTIONAL
(2023)
Article
Physics, Multidisciplinary
Fei Yu et al.
Summary: In this paper, a memristive Hopfield neural network (MHNN) is proposed, which is implemented by adding a suitable memristor to the Hopfield neural network (HNN). A new pseudo-random number generator (PRNG) based on MHNN is also developed. The experiments show the randomness and high performance of the PRNG. Additionally, an image encryption system based on PRNG is proposed and implemented on FPGA.
Article
Computer Science, Artificial Intelligence
Xiaohui Li et al.
Summary: The study proposes an image encryption scheme based on finite-time cluster synchronization using two-layer complex dynamic networks. The scheme uses a symmetric encryption method with disposable and dynamic keys to increase complexity and security. The encryption process involves scrambling preprocessing, encryption function operation, and diffusion, with controllable and predictable time for information encryption/decryption.
Article
Computer Science, Hardware & Architecture
Burak Aricioglu
Summary: This study considers for the first time the fractional order form of a chaotic system based on a two degrees of freedom nonlinear mechanical system. The state variables of the fractional order chaotic attractor are obtained numerically using the Grunwald-Letnikov method, and a circuit is implemented based on the approximate transfer function of fractional integration. A designed PRNG using the LSB of the state variables shows adequate randomness, and an audio encryption application is successfully realized using this PRNG.
ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING
(2022)
Article
Mathematics, Interdisciplinary Applications
Xuejun Li et al.
Summary: This paper proposes a high-security image cryptosystem based on a fractional-order hyperchaotic detuned laser system (FHDLS), an improved shuffling algorithm, and a DNA mutation diffusion algorithm. The experimental results demonstrate that the proposed system performs well in encryption and can effectively resist various attacks.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Physics, Multidisciplinary
Zhutao Ju et al.
Summary: In this study, a three-dimensional non-autonomous Wilson neuron model is built to investigate the effects of electromagnetic radiation on neuron firing activities. Computer simulations and hardware experiments are conducted to reveal the dynamics induced by the radiation.
CHINESE JOURNAL OF PHYSICS
(2022)
Article
Engineering, Mechanical
Qiuzhen Wan et al.
Summary: This paper investigates a Hopfield neural network under external electromagnetic radiation and dual bias currents, discussing its basic properties and nonlinear dynamic characteristics. The network shows high sensitivity to system parameters and initial conditions due to the presence of radiation and dual bias currents. The study reveals the existence of hidden attractors such as periodic, quasi-periodic, chaotic, and transient chaotic attractors in the proposed network. Additionally, the network exhibits transient chaos with different chaotic times based on varying neuron membrane magnetic flux, and parallel bifurcation behaviors with changing system parameters are observed.
NONLINEAR DYNAMICS
(2022)
Article
Physics, Multidisciplinary
Fei Yu et al.
Summary: This paper presents a piecewise quartic memristive chaotic neural network model with multi-scroll, which is achieved by using the characteristics of Memristor. It is applied to the protection of personal medical data in order to enhance confidentiality and convenience while ensuring robustness and encryption effectiveness.
EUROPEAN PHYSICAL JOURNAL PLUS
(2022)
Article
Physics, Multidisciplinary
Xintong Han et al.
Summary: In this paper, a class of hyperchaotic mappings is constructed using one-dimensional Logistic map and modulated coupling control methods. The dynamical characteristics and equilibrium points of the constructed mappings are analyzed, showing richer dynamics and feasibility in digital circuits.
EUROPEAN PHYSICAL JOURNAL PLUS
(2022)
Article
Automation & Control Systems
Hairong Lin et al.
Summary: This article focuses on coupled neural networks with brain-like chaotic dynamics and their application in biomedical image encryption. A memristive-coupled neural network (MCNN) model is proposed and its dynamical behaviors are studied. Numerical results show that the MCNN can generate highly complex hyperchaotic attractors and boost the attractor positions by switching their initial states. A biomedical image encryption scheme is designed and its performance is evaluated.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Mathematics, Applied
Qiuzhen Wan et al.
Summary: This paper investigates the behavior of neural networks in complex electromagnetic environments. By simulating the effects of electromagnetic induction and electromagnetic radiation on neural networks, it is found that the system has an unstable origin equilibrium point and exhibits complex dynamic behaviors from regular motions to chaotic motions and back to regular motions. The experimental results validate the numerical analysis and simulations.
Article
Mathematics, Interdisciplinary Applications
Chunbo Xiu et al.
Summary: In this paper, a sixth-order memristive hyperchaotic system is designed to enhance the order and Kolmogorov entropy, and improve the realizability of the circuit. The dynamic characteristics of the system are analyzed through Lyapunov exponential spectrum, phase trajectory diagram, and bifurcation diagram, and the effects of system control parameters and initial state on the system dynamic behavior are explored. Equivalent circuit models of flux-controlled and charge-controlled memristors are constructed, and the hardware simulation design is completed. The experimental results demonstrate that the proposed system can exhibit various attractors and show the behavior of period doubling bifurcation entering chaos and anti-period doubling exiting chaos. The physical realizability of the hyperchaotic system is verified through hardware circuit simulation. The memristive hyperchaotic system can be applied to image encryption to enhance the confidentiality and security of images based on its strong initial value sensitivity and large K entropy.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Physics, Multidisciplinary
Qiuzhen Wan et al.
Summary: In this paper, a novel variable-wing 5D memristive hyperchaotic system is proposed by introducing flux-controlled memristor and linear feedback term into the three-dimensional chaotic system, and using the state feedback control method to increase dimension. The complex dynamic behavior of the system under different control parameters and initial values is analyzed, revealing interesting phenomena such as hidden extreme multistability and transient chaotic transition behavior. The hardware experimental results demonstrate the physical realizability of the proposed system.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
(2022)
Article
Automation & Control Systems
Sen Zhang et al.
Summary: This article proposes a novel memristive multidouble-scroll Chua's system (MMDSCS) that can generate any number of multidouble-scroll chaotic attractors by adjusting the internal parameters of the memristor. The system also exhibits a unique phenomenon of coexisting homogeneous extreme multistability. The formation mechanism of this phenomenon is investigated using various methods, and hardware experiments are carried out to verify the numerical simulations. Furthermore, an image encryption scheme is designed based on the memristor dynamics. The proposed system has advantages such as multidouble-scroll attractors, controllable chaotic sequences, robustness, and high security performance.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Mathematics, Interdisciplinary Applications
Yuanyuan Si et al.
Summary: Some weaknesses of 1D chaotic maps in cryptography can be solved by using a higher-dimensional chaotic map called 3D exponential hyperchaotic map (3D-EHCM), which has better dynamic properties.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2022)
Article
Engineering, Mechanical
Hairong Lin et al.
Summary: In this paper, a memristive ring neural network (MRNN) with special structure and a non-ideal flux-controlled memristor is introduced to simulate the effect of external electromagnetic radiation on neurons. The chaotic dynamics of the MRNN is investigated and verified through numerical simulations and circuit experiments. Based on the characteristics of the network, a medical image encryption scheme is proposed. Performance evaluations show that the scheme has advantages compared with other chaotic systems-based cryptosystems in terms of keyspace, information entropy, and key sensitivity.
NONLINEAR DYNAMICS
(2022)
Article
Computer Science, Artificial Intelligence
Jianming Zhang et al.
Summary: The study introduces a novel traffic sign detection network named ReYOLO, which efficiently detects small and ambiguous traffic signs in the wild by learning rich contextual information and sensing scale variations. By using structural reparameterization methods and a novel weighting mechanism, the model is able to learn more effective features and narrow the semantic gap between multiple scales.
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS
(2022)
Article
Mathematics, Applied
Hui Shen et al.
Summary: This paper constructs a 2n-dimensional memristive autaptic Hopfield neural network model by introducing locally active memristors to replace ordinary resistive autapse. The stability and boundedness of the model are analyzed and verified through numerical simulation and implementation on a field-programmable gate array (FPGA).
Article
Computer Science, Hardware & Architecture
Cong Xu et al.
Summary: Emotional intelligence plays a crucial role in artificial intelligence. This article introduces a context-dependent emotional learning network and its memristive circuit implementation, addressing the limitations of existing models in considering contextual information.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2022)
Article
Engineering, Mechanical
Zhenghui Wen et al.
Summary: This paper investigates the effect of magnetic field coupling between neurons on neuron dynamics and finds that it can change the firing mode of neurons, providing new insights into the mechanism of information interaction between neurons.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Mechanical
Hui Shen et al.
Summary: This paper proposes a novel memristor that is applied to construct neurons and neural networks. By conducting a series of analysis and experiments, the paper verifies its performance in terms of firing dynamics and compares different firing patterns and coupled neural networks. The research results are of great significance for revealing the mystery of the brain and potential applications in practical projects.
NONLINEAR DYNAMICS
(2022)
Article
Mathematics, Interdisciplinary Applications
Fei Yu et al.
Summary: In this paper, a fractional-order chaotic system based on a memristive Hopfield neural network model is introduced, and the dynamical behaviors under different orders and coupling strengths are investigated. Additionally, a chaotic audio encryption scheme based on MQTT protocol is proposed and implemented on Raspberry Pi.
FRACTAL AND FRACTIONAL
(2022)
Article
Physics, Multidisciplinary
M. A. Platas-Garza et al.
Summary: An encryption, compression and transmission scheme based on fractional-order chaotic systems, DWT and QPSK modulation is proposed in this paper. Experimental results and security analysis demonstrate adequate performance for various applications in the presence of multiple attacks and environmental noise.
CHINESE JOURNAL OF PHYSICS
(2021)
Article
Mathematics, Interdisciplinary Applications
Zain Ul Abadin Zafar et al.
Summary: An arbitrary order model for Toxoplasmosis in humans and felines is introduced, with a new methodology proposed and verified through numerical simulations, providing a fresh perspective for the study of this disease.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Computer Science, Hardware & Architecture
Fei Yu et al.
Summary: This paper presents a new method for generating multi-scroll chaotic attractors and analyzes the basic dynamic characteristics of the system, as well as its application in chaotic image encryption and security performance evaluation. The feasibility and usability of the proposed new multi-scroll Chua's system are verified through numerical simulation and FPGA experimental results.
INTEGRATION-THE VLSI JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Ernesto Zambrano-Serrano et al.
Summary: This paper describes the experimental realization of a synchronization scheme for a fractional-order multi-scroll chaotic oscillator with a 4-scroll attractor and q = 0.9, as well as presents analytical control methods and proposes a passivity-based synchronization controller. The experimental measures of the implemented synchronization scheme show promising results compared to analytical and numerical findings.
INTEGRATION-THE VLSI JOURNAL
(2021)
Article
Public, Environmental & Occupational Health
Ritwik Banerjee et al.
Summary: Behavioral biases in understanding disease data, particularly related to exponential-growth prediction bias, play a significant role in compliance with safety measures against the spread of COVID-19. A simple behavioral nudge that presents data in raw numbers rather than a graph can causally reduce the bias and improve risk perception accuracy.
SOCIAL SCIENCE & MEDICINE
(2021)
Article
Engineering, Multidisciplinary
J. Perez-Padron et al.
Summary: This paper presents a trajectory tracking control method and FPGA implementation between a recurrent neural network with time delay and a chaotic system. The control law generated from the Lyapunov-Krasovskii and Lur'e theory stabilizes the tracking error globally. The theoretical results have been successfully implemented on an FPGA, demonstrating the feasibility of the synchronization scheme in hardware.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Automation & Control Systems
Han Bao et al.
Summary: This article introduces a simple 2-D sine map for generating complex chaotic sequences and boosting oscillating amplitudes by switching initial states. Experimental results demonstrate nondestructive control of chaotic sequences, making it suitable for various engineering applications.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Mathematics, Applied
Ernesto Zambrano-Serrano et al.
Summary: In this study, a novel chaotic oscillator derived from four-dimensional autonomous systems was proposed, and its equilibrium point stability, chaotic regions, electronic design, and synchronization behavior were analyzed. The study demonstrated qualitative agreement between electronic design and numerical simulations, and established conditions for synchronization through feedback control, supported by numerical simulations.
PHYSICA D-NONLINEAR PHENOMENA
(2021)
Article
Physics, Multidisciplinary
Quan Xu et al.
Summary: An asymmetric memristive diode-bridge (MDB) emulator is introduced to imitate the characteristics of a physical memristor, leading to the observation of asymmetric coexisting bifurcations and multi-stability. The study reveals the presence of multiple attractors under different parameters through numerical analysis and experimental validation.
CHINESE JOURNAL OF PHYSICS
(2021)
Article
Physics, Multidisciplinary
Fei Yu et al.
Summary: This paper introduces an FPGA PRNG based on a 5D hyperchaotic four-wing memristive system, which exhibits complex dynamic behavior and good pseudo-random characteristics. The design is implemented on Vivado platform and the randomness of the generated bit sets is verified by NIST statistical standard. Experimental results demonstrate that the design can be applied to various embedded password applications.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
(2021)
Article
Chemistry, Physical
Yanrong Wang et al.
Summary: The study introduces a driving-voltage-free optoelectronic synaptic device based on MoTe2/alpha-In2Se3 ferroelectric p-n junctions, achieving non-volatile reconfigurable photovoltaic effect and improved photoelectrical conversion efficiency. It also successfully mimics retina synapse-like vision functions, demonstrating optoelectronic short-term and long-term plasticity, as well as basic neuromorphic learning and memory rule without applying driving voltage. This work highlights the potential of ferroelectric p-n junctions for enhanced solar cells and low-power optoelectronic synaptic devices for neuromorphic machine vision.
Article
Computer Science, Artificial Intelligence
Isaac Sami Doubla et al.
Summary: This paper investigates the dynamics of a non-autonomous tabu learning two-neuron model, explores nonlinear phenomena displayed by the neuron model in TLTN, and proposes an encryption/decryption algorithm based on a modified Julia set. The model exhibits multistability, and the built cryptosystem demonstrates excellent security performance in terms of various metrics.
NEURAL COMPUTING & APPLICATIONS
(2021)
Review
Engineering, Mechanical
Hairong Lin et al.
Summary: The study of dynamics on artificial neurons and neuronal networks is crucial for understanding brain functions and developing neuromorphic systems. Memristive neuron and neural network models show great potential in investigating neurodynamics, researching various chaotic dynamics phenomena, and are categorized into five types based on different biological function mechanisms. Pioneering works and recent important papers related to these types are introduced, along with presenting some open problems in the field for future exploration.
NONLINEAR DYNAMICS
(2021)
Article
Computer Science, Information Systems
Sundarapandian Vaidyanathan et al.
Summary: This work introduces a new 4-D hyperchaotic system with hidden attractor and multistability, presents its bifurcation analysis and circuit design, and demonstrates its implementation using FPGA. Experimental and simulation results show good agreement between theory and practice, confirming the effectiveness of the hyperchaotic system in designing cryptographic systems.
Article
Education, Scientific Disciplines
Javad Mostafaee et al.
Summary: This study introduces a novel hyper-chaotic system and a fast terminal sliding mode control scheme to ensure synchronization and stability. Analysis of chaotic attractor, bifurcation diagram, equilibrium points, Poincare map, Kaplan-Yorke dimension, and Lyapunov exponent behaviors was also conducted. The proposed approach was implemented for image encryption, confirming the improved security provided by the new hyper-chaotic system.
Article
Engineering, Multidisciplinary
Fan Xu et al.
Article
Computer Science, Artificial Intelligence
Yun Song et al.
Article
Automation & Control Systems
Xiaoyuan Wang et al.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2020)
Article
Computer Science, Information Systems
Ying Li et al.
MULTIMEDIA TOOLS AND APPLICATIONS
(2020)
Article
Mathematics, Interdisciplinary Applications
Fei Yu et al.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2020)
Article
Mathematics, Interdisciplinary Applications
Quan Xu et al.
CHAOS SOLITONS & FRACTALS
(2020)
Article
Computer Science, Information Systems
Dengyong Zhang et al.
SECURITY AND COMMUNICATION NETWORKS
(2020)
Article
Computer Science, Information Systems
Aceng Sambas et al.
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Computer Science, Information Systems
Manish Kumar et al.
MULTIMEDIA TOOLS AND APPLICATIONS
(2019)
Article
Engineering, Electrical & Electronic
M. O. Meranza-Castillon et al.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2019)
Article
Computer Science, Artificial Intelligence
Fei Yu et al.
Article
Physics, Multidisciplinary
Miguel Angel Murillo-Escobar et al.
Article
Computer Science, Information Systems
Feng Li et al.
CMC-COMPUTERS MATERIALS & CONTINUA
(2019)
Article
Computer Science, Information Systems
R. Ponuma et al.
MULTIMEDIA TOOLS AND APPLICATIONS
(2018)
Article
Engineering, Mechanical
Xiaolin Ye et al.
NONLINEAR DYNAMICS
(2018)
Article
Mathematics, Applied
E. Tlelo-Cuautle et al.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2015)
Article
Physics, Multidisciplinary
V. -T. Pham et al.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
(2015)
Article
Optics
Jianhua Wu et al.
JOURNAL OF MODERN OPTICS
(2013)
Article
Optics
Xiaoyong Liu et al.
Article
Physics, Multidisciplinary
Fei Yu et al.
PRAMANA-JOURNAL OF PHYSICS
(2012)
Article
Mathematics, Interdisciplinary Applications
R. Trejo-Guerra et al.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2009)
Article
Mathematics, Interdisciplinary Applications
A. Radwan et al.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2007)
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Mathematics, Applied
JH Lü et al.
